HER2-低乳腺癌在病理学和技术的界面:朝着精确管理的方向
Faezeh Shekari1, Reza Bayat Mokhtari1,2,3,4, Razieh Salahandish5,6
1Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON K7L 3N6, Canada.
Biomedicines
|January 28, 2026
概括
准确识别低HER2乳腺癌是一个挑战. 液体活检和人工智能增强诊断为精确的患者分层和个性化治疗策略提供了有希望的解决方案.
科学领域:
- 在瘤学瘤学.
- 病理学 病理学 病理学
- 生物技术是生物技术.
背景情况:
- 低HER2的乳腺癌呈现出一种新的临床类别,超出了传统的HER2分类.
- 这些瘤表现出明显的特征和对抗体-药物合物的敏感性,但由于诊断的局限性,准确的识别受到阻碍.
- 由于异质性和时间变化,HER2的表达可能会有所不同,从而使诊断复杂化.
研究的目的:
- 审查HER2-低乳腺癌的生物学和临床方面.
- 评估创新的诊断技术,重点是液体活检和AI.
- 探索提高诊断准确度和监测HER2-低乳腺癌的进展.
主要方法:
- 进行了叙事文学评论.
- 检查了基于组织的HER2测试,液体活检方法 (循环瘤细胞,核酸,细胞外囊泡,可溶性HER2) 和AI应用.
- 在组织病理学和多式联络诊断系统中评估AI.
主要成果:
- 液体活检提供最小侵入性,实时HER2评估,可能克服基于组织的检测局限性.
- 人工智能增强的组织病理学和多式联络系统提高了可复制性和治疗反应预测.
- 新兴的生物传感器和人工智能监测框架支持持续的疾病评估.
结论:
- 低HER2乳腺癌的诊断正在随着技术进步而发展.
- 将液体活检与人工智能驱动的诊断相结合,可以提高精确分层的精度.
- 这些综合方法可以为HER2-低乳腺癌患者提供个性化疗法.
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